Search papers, labs, and topics across Lattice.
4
0
6
2
Teaching VLMs to "look back" and "look ahead" with lightweight spatial reasoning tasks unlocks surprisingly strong navigation performance.
Latent reasoning can beat explicit Chain-of-Thought – but only if you force it to learn causal dynamics via a visual world model, not just language.
Imagine controlling a robotic dog with simple voice commands, instantly switching between complex skills like obstacle avoidance and object manipulation.
Ditch language descriptions: this new driving model leverages dense 3D geometry for superior autonomous driving performance and cross-camera generalization.